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We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms.

In this paper, we develop a theoretical model which identifies four channels–import prices, competition with domestic suppliers and workers, and commodity prices–through which price- and wage-setting conditions in country j may affect inflation in country i.

We show how Treasury demand shocks transmit to foreign exchange and bond markets globally. Higher Treasury demand weakens the U.S. dollar and raises foreign bond prices, with effects persisting for two weeks. The transmission varies predictably across countries based on their monetary policy alignment with the United States.

We decompose the variance risk premium into upside and downside variance risk premia. These components reflect market compensation for changes in good and bad uncertainties. Their difference is a measure of the skewness risk premium (SRP), which captures asymmetric views on favorable versus undesirable risks.

We study how the interaction of market power and nominal price rigidity influences inflation dynamics. We find that pass-through declines with price stickiness when markets are concentrated, which implies a lower slope of the New Keynesian Phillips curve.

This paper theoretically and empirically examines the price impacts of liquidations in DeFi and how different liquidation mechanisms affect the price impacts.

The authors conduct a counterfactual simulation of the proposed rules under the new Basel Capital Accord (Basel II), including the revised treatment of expected and unexpected credit losses proposed by the Basel Committee in October 2003.

This paper summarizes the literature on the performance of various extended monetary policy tools when conventional policy rates are constrained by the effective lower bound. We highlight issues that may arise when these tools are used by central banks of small open economies.

I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.

Several studies have put forward the non-linear structure and option-like features of returns associated with hedge fund strategies.